A Framework for Privacy-Preserving Multiparty Computation with Homomorphic Encryption and Zero-Knowledge Proofs

Abstract

In digital landscape of today’s ongoing world, the imperative for enhanced security in cloud-based data processing is paramount. This paper introduces an innovative framework that seamlessly integrates Homomorphic Encryption and Zero-Knowledge Proofs (ZKPs) to bolster data privacy and confidentiality. This paper explores the technical intricacies, real-world applications, and potential implications of this fusion framework. Homomorphic Encryption empowers computations on encrypted data without compromising privacy, while Zero-Knowledge Proofs offer a mechanism to verify computations without exposing sensitive details. The effectiveness and adaptability of the proposed framework is demonstrated through meticulous analysis and practical deployment in safeguarding cloud-based data processing. The proposed framework marks a significant stride towards creating an environment where data security is unequivocally prioritized.

Author Biography

Janak Ghansham Dhokrat, Department of Computer Engineering, Ramrao Adik Institute of Technology, D Y Patil Deemed to be University, Navi Mumbai.

MtechORCID iD 0009-0004-7665-5836

References

References

R.T.A.V.Y, H.H.N.H, H.H.K.D.W.M.C.B.,

P.K.L.K.T, A. Senarathne, L. Ruggahakotuwa, ”Ensuring Electronic Health Record(EHR) Privacy using Zero Knowledge Proofs

(ZKP) and Secure Encryption Schemes on

Blockchain,” 2023 5th International Conference on Advancements in Computing(ICAC), Colombo, Sri Lanka, 2023.

Z.H. Mahmood, M.K. Ibrahem, ”New Fully

Homomorphic Encryption Scheme Based on

Multistage Partial Homomorphic Encryption

Applied in Cloud Computing,” 2018 1st Annual International Conference on Information and Sciences (AiCIS), Fallujah, Iraq,

Tang, M., ”Homomorphic Encryption Technology Based on Computer Cloud Computing,” ICATCI 2022, Lecture Notes on Data

Engineering and Communications Technologies, vol 170, Springer.

A. Pathak, T. Patil, S. Pawar, P. Raut, S.

Khairnar, ”Secure Authentication using Zero

Knowledge Proof,” 2021 Asian Conference

on Innovation in Technology (ASIANCON),

Pune, India, 2021.

D. Capko, S. Vukmirovi´c, N. Nedi´c, ”State ˇ

of the Art of Zero-Knowledge Proofs in

Blockchain,” 2022 30th Telecommunications

Forum (TELFOR), Belgrade, Serbia, 2022.

C.P. Sah, ”Robustness Analysis of Zero

Knowledge Proofs using Diffie Hellman Problem,” 2022 2nd International Conference on

Technological Advancements in Computational Sciences (ICTACS), Tashkent, Uzbekistan, 2022.

S. Liu, ”Privacy Protection Revolution:

Zero-knowledge Proof,” 2022 International

Conference on Data Analytics, Computing

and Artificial Intelligence (ICDACAI), Zakopane, Poland, 2022.

D. Hou, J. Zhang, S. Huang, Z. Peng, J. Ma,

X. Zhu, ”Privacy-Preserving Energy Trading Using Blockchain and Zero Knowledge

Proof,” 2022 IEEE International Conference

on Blockchain (Blockchain), Espoo, Finland,

Singh, N., Dayama, P., Pandit, V., ”Zero

Knowledge Proofs Towards Verifiable Decentralized AI Pipelines,” FC 2022, Lecture Notes in Computer Science, vol 13411,

Springer, Cham, 2022.

A. Kavya, S. Acharva, ”A Comparative

Study on Homomorphic Encryption Schemes

in Cloud Computing,” 2018 3rd IEEE International Conference on Recent Trends

in Electronics, Information & Communication Technology (RTEICT), Bangalore, India, 2018.

J. Liu, J.-L. Han, Z.-L. Wang, ”Searchable

Encryption Scheme on the Cloud via Fully

Homomorphic Encryption,” 2016 Sixth International Conference on Instrumentation

& Measurement, Computer, Communication

and Control (IMCCC), Harbin, China, 2016.

S. Yaji, K. Bangera, B. Neelima, ”Privacy

Preserving in Blockchain Based on Partial

Homomorphic Encryption System for AI Applications,” 2018 IEEE 25th International

Conference on High Performance Computing Workshops (HiPCW), Bengaluru, India,

Z.H. Mahmood, M.K. Ibrahem, ”New Fully

Homomorphic Encryption Scheme Based on

Multistage Partial Homomorphic Encryption

Applied in Cloud Computing,” 2018 1st Annual International Conference on Information and Sciences (AiCIS), Fallujah, Iraq,

J. Ryu, K. Kim, D. Won, ”A Study on Partially Homomorphic Encryption,” 2023 17th

International Conference on Ubiquitous Information Management and Communication

(IMCOM), Seoul, Korea, Republic of, 2023.

K. El Makkaoui, A. Beni-Hssane, A. Ezzati, ”Can hybrid Homomorphic Encryption

schemes be practical?,” 2016 5th International Conference on Multimedia Computing

and Systems (ICMCS), Marrakech, Morocco,

Authors

  • Janak Ghansham Dhokrat Department of Computer Engineering, Ramrao Adik Institute of Technology, D Y Patil Deemed to be University, Navi Mumbai.
  • Namita Pulgam Department of Computer Engineering, Ramrao Adik Institute of Technology, D Y Patil Deemed to be University, Navi Mumbai, Maharashtra, India.
  • Tabassum maktum Department of Computer Engineering, Ramrao Adik Institute of Technology, D Y Patil Deemed to be University, Navi Mumbai, Maharashtra, India.
  • Vanita mane Department of Computer Engineering, Ramrao Adik Institute of Technology, D Y Patil Deemed to be University, Navi Mumbai, Maharashtra, India.

DOI:

https://doi.org/10.31449/inf.v48i21.6562

Downloads

Published

11/28/2024

How to Cite

Dhokrat, J. G., Pulgam, N., maktum, T., & mane, V. (2024). A Framework for Privacy-Preserving Multiparty Computation with Homomorphic Encryption and Zero-Knowledge Proofs. Informatica, 48(21). https://doi.org/10.31449/inf.v48i21.6562

Issue

Vol. 48 No. 21 (2024): Online-only issue

Section

Online-only

License

Authors retain copyright in their work. By submitting to and publishing with Informatica, authors grant the publisher (Slovene Society Informatika) the non-exclusive right to publish, reproduce, and distribute the article and to identify itself as the original publisher.

All articles are published under the Creative Commons Attribution license CC BY 3.0. Under this license, others may share and adapt the work for any purpose, provided appropriate credit is given and changes (if any) are indicated.

Authors may deposit and share the submitted version, accepted manuscript, and published version, provided the original publication in Informatica is properly cited.